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Collections including paper arxiv:2410.05258

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

Papers that exist

about 1 month ago

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Paper • 2509.15591 • Published Sep 19, 2025 • 45
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 94
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost

Paper • 2602.03120 • Published Feb 3 • 1
TADA! Tuning Audio Diffusion Models through Activation Steering

Paper • 2602.11910 • Published Feb 12 • 2

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published Dec 19, 2024 • 28
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published Dec 16, 2024 • 43
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 163
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published Dec 18, 2024 • 14

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 377
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque

Paper • 2412.13922 • Published Dec 18, 2024

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 120
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 146

Transformers_PMK

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182
Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14, 2025 • 127

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 55
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Paper • 2410.13276 • Published Oct 17, 2024 • 29
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70
Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182

Foundational & Modern AI Research (Curated)

A curated selection of foundational and modern AI research papers that meaningfully influence how real-world AI systems are designed, evaluated, and g

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 120
Scaling Laws for Neural Language Models

Paper • 2001.08361 • Published Jan 23, 2020 • 10
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Paper • 2210.04186 • Published Oct 9, 2022

Depth Anything V2

Paper • 2406.09414 • Published Jun 13, 2024 • 103
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

Paper • 2406.09415 • Published Jun 13, 2024 • 51
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Paper • 2406.04338 • Published Jun 6, 2024 • 39
SAM 2: Segment Anything in Images and Videos

Paper • 2408.00714 • Published Aug 1, 2024 • 122

Papers that exist

about 1 month ago

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Paper • 2509.15591 • Published Sep 19, 2025 • 45
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 94
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost

Paper • 2602.03120 • Published Feb 3 • 1
TADA! Tuning Audio Diffusion Models through Activation Steering

Paper • 2602.11910 • Published Feb 12 • 2

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 120
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 146

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182

Transformers_PMK

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182
Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14, 2025 • 127

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published Dec 19, 2024 • 28
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published Dec 16, 2024 • 43
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 163
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published Dec 18, 2024 • 14

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182

Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 377
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque

Paper • 2412.13922 • Published Dec 18, 2024

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 55
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Paper • 2410.13276 • Published Oct 17, 2024 • 29
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70
Differential Transformer

Paper • 2410.05258 • Published Oct 7, 2024 • 182

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